By Sandeep Arora

Late one night at a network operations centre, a regional node strains under rising traffic. Previously, this would have triggered technician alerts and manual interventions. Now, an artificial intelligence (AI) agent detects the anomaly, reroutes traffic, optimises bandwidth, and logs the event seamlessly. No alarms, no downtime, just intelligence at work.

This form of intelligence is no longer just a theoretical possibility. Early deployments and pilot programs demonstrate how agentic AI can autonomously manage network events, reflecting a paradigm shift in the way telecom is structured, operated, and led.

The telecom industry has long relied on automation through scripts, bots, and rule-based systems to streamline operations and cut costs. The next phase is autonomy. With agentic AI, systems don’t just execute instructions, they learn and achieve outcomes in real time.

AI agents help networks self-heal, anticipate........

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